Multi-Tenant AI Pipeline Access Control for Tenant-Specific Agents
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Solution Overview
Problem
Small and medium-sized enterprises face challenges in managing AI pipelines in multi-tenant environments due to the complexity of deploying, maintaining, and updating AI agents, which require specialized expertise and resources that they often lack, limiting their ability to leverage AI technologies effectively.
Innovation Solution
An AI platform that allows primary tenants to manage and provide AI agents to subtenants by matching them with relevant use-case templates based on their business needs, automating the process of deploying and maintaining AI solutions, and ensuring compatibility across diverse tenants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If SMEs deploy and manage AI pipelines in multi-tenant environments, then they can leverage AI capabilities, but they face substantial challenges due to lack of specialized personnel and resources
Solution Approach 1:
The patent introduces a multi-tenant AI platform as an intermediary between AI technology and SMEs. This platform provides pre-configured AI pipelines, automated deployment, and centralized management, allowing SMEs to leverage AI capabilities without needing specialized personnel or resources to manage the complexity directly
Solution Approach 2:
The platform serves multiple tenants simultaneously with a single unified system, providing universal AI pipeline management capabilities across different organizations. This multi-tenant architecture allows resource sharing and standardized management while accommodating diverse AI needs of different SMEs
2Productivity
If AI pipelines are continuously updated to keep pace with technological advancement, then AI capabilities improve, but the burden of maintenance and updates increases significantly for SMEs
Solution Approach 1:
The platform performs preliminary configuration and testing of AI pipelines before deployment to tenants. Updates and improvements are pre-prepared and validated in the platform environment, then automatically deployed to tenants, eliminating the need for SMEs to perform time-consuming maintenance and update activities
Solution Approach 2:
The system enables continuous AI capability improvement through automated update mechanisms. AI pipelines can be updated continuously in the background without interrupting tenant operations, maintaining productive action while advancing capabilities
3Use of energy by moving object
If a single platform serves multiple tenants with diverse needs, then resource efficiency improves, but ensuring compatibility and meeting diverse requirements becomes more difficult
Solution Approach 1:
The platform applies local quality by allowing each tenant to have customized AI pipeline configurations and parameters tailored to their specific needs, while sharing the underlying infrastructure. Each tenant's AI pipelines can be independently configured with specific models, data sources, and parameters appropriate to their use cases
Data Source
AI summary
Systems and methods are described for managing resource access in multitenancy in artificial intelligence (AI) platforms. The platform can provide a user interface (UI) that allows for creation of an organization, tenants within that organization, and groups within tenants. This hierarchy can dictate resource permissions that impact which AI agents and agent objects are available to a user. The different tenants can have segregated data and utilize different agent objects, such as different prompts, datasets, or models. A marketplace UI can prioritize additional marketplace agents for approval and inclusion with the tenant.